An Intelligent Scanning Vehicle for Waste Collection Monitoring

Georg Waltner*, Malte Jaschik, Alfred Rinnhofer, Horst Possegger, Horst Bischof

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung


While many industries have adopted digital solutions to improve ecological footprints and optimize services, new technologies have not yet found broad acceptance in waste management. In addition, past efforts to motivate households to improve waste separation have shown limited success. To reduce greenhouse gas emissions as part of a greater plan for fighting climate change, institutions like the European Union (EU) undertake strong efforts. In this context, developing intelligent digital technologies for waste management helps to increase the recycling rate and as a consequence reduces greenhouse gas emissions. Within this work, we propose an innovative computer vision system that is able to assess the residential waste in real-time and deliver individual feedback to the households and waste management companies with the aim of increasing recycling rates and thus reducing emissions. It consists of two core components: A compact scanning hardware designed specifically for rugged environments like the innards of a garbage truck and an intelligent software that applies a convolutional neural network (CNN) to automatically identify the composition of the waste which was dumped into the truck and subsequently delivers the results to a web portal for further analysis and communication. We show that our system can impact household separation behavior and result in higher recycling rates leading to noticeable reduction of CO2 emissions in the long term.
TitelImage Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings
Untertitel21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I
Redakteure/-innenStan Sclaroff, Cosimo Distante, Marco Leo, Giovanni M. Farinella, Federico Tombari
ISBN (elektronisch)978-3-031-06427-2
PublikationsstatusVeröffentlicht - Mai 2022
Veranstaltung16th International Conference on Image Analysis and Processing: ICIAP 2022 - Paris, Frankreich
Dauer: 27 Okt. 202228 Okt. 2022


NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band13231 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349


Konferenz16th International Conference on Image Analysis and Processing
KurztitelICIAP 2022

ASJC Scopus subject areas

  • Maschinelles Sehen und Mustererkennung
  • Angewandte Informatik
  • Theoretische Informatik
  • Informatik (insg.)

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